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Patrick Billingsley - Convergence of Probability Measures - 9780471197454 - V9780471197454
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Convergence of Probability Measures

€ 188.10
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Description for Convergence of Probability Measures Hardcover. Asymptotic distribution theorems in probability and statistics have, from the beginning, depended on the classical theory of weak convergence of distribution functions in Euclidean space. The past several decades have seen the creation and extensive application of a more inclusive theory of weak convergence of probability measures on metric spaces. Series: Wiley Series in Probability and Statistics. Num Pages: 296 pages. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 243 x 160 x 19. Weight in Grams: 566.
A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, engineering, economics, and population biology. With an emphasis on the simplicity of the mathematics ... Read more

Product Details

Format
Hardback
Publication date
1999
Publisher
John Wiley and Sons Ltd United States
Number of pages
296
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
304
Place of Publication
, United States
ISBN
9780471197454
SKU
V9780471197454
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Patrick Billingsley
PATRICK BILLINGSLEY, PhD, is Professor of Mathematics and Statistics at the University of Chicago. His book, Probability and Measure, Third Edition, is also available from Wiley.

Reviews for Convergence of Probability Measures
The book is a classic
it is almost an insult to review it. This second edition will, probably and rightly, be urged on today's research students by their predecessors, now their supervisors, who derived so much from the first edition. As the author says, 30 years ago the book would take the aspiring researcher to the forefront. Now, with the huge ... Read more

Goodreads reviews for Convergence of Probability Measures


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